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View this CV online with links at drewradovich.github.io/cv.html

Contact

Technical Skills

R
SQL
Excel
Tableau
PowerBI
Python

Disclaimer

Made with the R package pagedown.

The source code is available at github.com/nstrayer/cv.

Last updated on 2025-02-24.

Main

Drew Radovich

I am a current graduate student in Data Analytics with a strong background in retail and operations. I have been responsible for expanding retail locations, optimizing inventory processing, and using sales data to help improve overall business performance.

Currently searching for a data analytics position that allows me to dive deep using visualization and SQL/R to help people explore and understand their data.

Education

Graduate Candidate in Program Evalattion and Data Analytics

Tempe, AZ

Arizona State University

2025 - 2024

B.S., Exercise Science (minor Psychology)

Kirkland, WA

Northwest University

2020 - 2015

Industry Experience

I have worked in a variety of roles ranging from sales associate to delivery driver to operations analyst. I enjoy collaborative and goal driven environments where I can learn from my peers.

Operations Analyst

Kenmore, WA

Snapdoodle Toys & Games

2024 - 2020

  • Collected, maintained, and examined 10,000 rows of sales data using Microsoft Excel to identify product trends and performance for optimal e-commerce marketing increasing gross company sales by 5% year over year. 
  • Developed an efficient inventory allocation system using product performance data in Microsoft Excel to partner cross-functionally to inform buying decisions and reduce overstock by 15%.
  • Implemented a new inventory tracker using Excel and automated tasks to help track inventory processing times and increase visibility and productivity by 30%. 

Warehouse Associate

Kenmore, WA

Snapdoodle Toys & Games

2020 - 2018

Sales Associate

Kenmore, WA

Snapdoodle Toys & Games

2018 - 2014

Physical Therapy Aide

Kirkland, WA

Premier Physical Therapy

2015

Physical Therapy Aide

Kirkland, WA

Lake Washington Physical Therapy

2015 - 2014

Assistant Manager

Bellevue, WA

Abercrombie & Fitch, Co.

N/A

  • Conduct weekly sales and inventory reviews using PowerBI to optimize sales strategies and increase monthly gross sales by 2% compared to the previous year.
  • Use inventory tracking systems to plan operations and streamline product flow by increasing item replenishment rates from 25%  to 60%, helping boost store sales.
  • Perform daily analytics in PowerBI to understand business metrics and KPIs, communicate with and align team members on company goals, and reach $2-3M in quarterly sales by understanding the qualitative voice of customer data and quantitative product performance.




Selected Data Analyst Projects

I regularly complete personal data projects and am always open to collaborating. View my current projects on my GitHub

COVID-19 EDA and Dashboard

N/A

Personal Project

N/A

  • Utilized Microsoft SQL Server to merge and clean data sets and perform summary analytics 
  • Created a dashboard on PowerBI to communicate findings with stakeholders, meeting end-user requirements.
  • Applied regression to produce a forecast for cases by country 

Rideshare Company Marketing EDA and Dashboard

N/A

Personal Project

N/A

  • Uploaded, cleaned, and merged monthly user data in R to uncover user patterns for rideshare vehicles 
  • Visualized user trends in R and Tableau to help inform targeted marketing decisions in a simulated business task

Seattle Neighborhood Growth Dashboard

N/A

Personal Project

N/A

  • Utilized R to analyze and filter 3.5 million rows of data to define specific neighborhoods and clusters based on shared criteria
  • Implemented dplyr techniques to merge data and create new variables to help analyze neighborhood change
  • Aggregated and visualized the data by using ggplot2 and shiny to compile a professional dashboard 

Tempe Traffic Dashboard

N/A

Personal Project

N/A

  • Implemented  R and shiny to help analyze traffic patterns in Tempe, AZ and generate a report dashboard.
  • Transformed and processed data by using R programming to ensure data completeness and validity
  • Provided insights on how weather conditions, age, and time of day influence the rate of collisions

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Personal Project

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Personal Project

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